Triple
T220692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holy Trinity Cathedral, Port-au-Prince |
E4205
|
entity |
| Predicate | muralsCreatedBy |
P1572
|
FINISHED |
| Object |
Préféte Duffaut
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
|
E31116
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Préféte Duffaut | Statement: [Holy Trinity Cathedral, Port-au-Prince, muralsCreatedBy, Préféte Duffaut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Préféte Duffaut Context triple: [Holy Trinity Cathedral, Port-au-Prince, muralsCreatedBy, Préféte Duffaut]
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
E.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Préféte Duffaut Triple: [Holy Trinity Cathedral, Port-au-Prince, muralsCreatedBy, Préféte Duffaut]
Generated description
Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Préféte Duffaut Target entity description: Préféte Duffaut was a renowned Haitian painter celebrated for his imaginative, dreamlike cityscapes and significant contributions to Haitian naïve art.
-
A.
Pierre
Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
-
B.
Stephen Sauvestre
Stephen Sauvestre was a French architect best known for designing the architectural embellishments and final aesthetic of the Eiffel Tower.
-
C.
René
René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
-
D.
Guillaume
Guillaume is the French form of the given name William, commonly used in French-speaking countries.
-
E.
Jean-Pierre
Jean-Pierre is a French given name commonly used as a masculine compound first name.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a260c3037c8190ba7ddf328f249b74 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3695b4f648190969ed240f1597866 |
completed | Feb. 28, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69a369ec7d4481909dcdb53082806239 |
completed | Feb. 28, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a36a6714208190bf021994a84d0163 |
completed | Feb. 28, 2026, 10:21 p.m. |
Created at: Feb. 28, 2026, 2:53 a.m.